Machine Learning Researcher (Probabilistic Models, Tensorflow)
Machine Learning Researcher (Probabilistic Models, Tensorflow) We are seeking a Machine Learning Researcher (Probabilistic Models, Tensorflow) to join our brand-new Cambridge office where we are driving forward cutting edge research within Machine Learning and Artificial Intelligence. As a Machine Learning ResearcherMachine Learning Researcher, you will be applying this research will applying it to complex autonomous systems, guiding real-time recommendations and complex decisions within the electricity markets, worth billions of pounds. Within our business as a Machine Learning Researcher, you will stay abreast of current publications within your academic domain - keeping in touch with your networks, whether that be colleagues or relevant professors within universities & research centres. We are keen on bringing on board a Machine Learning Machine Learning Researcher who isn't scared of thinking about data in new innovative ways, rather than falling back on the standard approaches. As a Machine Learning Machine Learning Researcher you will aid us in our vision of investigating problems which have a vast impact on the world; whether this be Artificial Intelligence safety, human healthcare or complex environmental issues. What we can offer a Machine Learning Researcher - A place to put your skills to the test; it doesn't matter if you are from a Mathematical, Machine Learning, Physics, Computer Science or Statistics background - we would like to hear from you. - To be part of a team consisting of top researchers and Engineers, all of which want to work on real world problems that have a global impact. - Lots of Personal Development - we will financially support any relevant learning in the form of training, conferences, seminars etc - A relaxed and informal working environment with very little bureaucracy. - A flexible working office environment, occasionally working from home is something we support. Key Skills Include: Machine Learning Machine Learning Researcher, Researcher, Research, PhD, Publications, Times-Series Forecasting Machine Learning, ML, AI, Deep Learning, Deep Neural Nets, Bayesian inference, Bayesian Data, Probabilistic Modelling, Complex Data, Matlab, Python, Julia, R, SQL, Mathematics, Statistics, Engineering, Computer Science, Physics, Economics, Energy Markets.